The latest articles on DEV Community by Pro_code (@procoder_45). https://dev.to/procoder_45 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3930949%2Fc015a220-a201-46b6-b219-a702e7a1dcf0.png https://dev.to/procoder_45 en Pro_code Sat, 06 Jun 2026 16:26:52 +0000 https://dev.to/procoder_45/from-aiml-student-to-genai-engineer-my-6-month-learning-plan-for-2026-298e https://dev.to/procoder_45/from-aiml-student-to-genai-engineer-my-6-month-learning-plan-for-2026-298e <p>🚀 This article outlines my personal 6-month roadmap to become a GenAI Engineer, covering LLMs, AI Agents, RAG systems, DSA, System Design, and real-world projects.</p> <p>Hello everyone 👋</p> <p>My name is Anupam, and I am currently pursuing a B.Tech in Computer Science with a specialization in AI &amp; ML.</p> <p>Like many students, I spent a lot of time learning different technologies without a clear direction. Sometimes it was web development, sometimes machine learning, sometimes DSA. While all of these are important, I realized that the future is rapidly moving toward Generative AI and AI Agents.</p> <p>So I decided to create a focused 6-month roadmap to become a skilled GenAI Engineer.</p> <p>In this article, I want to share my learning plan, goals, resources, and projects that I will build along the way.</p> <h2> Why GenAI? </h2> <p>Artificial Intelligence is evolving faster than ever.</p> <p>Today, Large Language Models (LLMs) can:</p> <ul> <li>Write code</li> <li>Generate content</li> <li>Analyze documents</li> <li>Use external tools</li> <li>Automate workflows</li> <li>Act as AI Agents</li> </ul> <p>Companies are actively looking for engineers who understand not just machine learning, but also how to build practical AI applications.</p> <p>That is why I decided to focus on:</p> <ul> <li>Generative AI</li> <li>LLMs</li> <li>AI Agents</li> <li>Prompt Engineering</li> <li>RAG Systems</li> <li>System Design</li> <li>DSA for interviews</li> </ul> <h2> My Current Situation </h2> <p>Currently, I am:</p> <p>✅ Computer Science (AI/ML) Student</p> <p>✅ Learning Data Structures &amp; Algorithms</p> <p>✅ Exploring System Design</p> <p>✅ Learning Generative AI</p> <p>✅ Looking for internships and real-world project experience</p> <p>My goal is to become industry-ready by the end of 2026.</p> <h2> Month 1: Build Strong Foundations </h2> <h3> Topics </h3> <ul> <li>What is AI?</li> <li>Machine Learning Basics</li> <li>Deep Learning Basics</li> <li>What are LLMs?</li> <li>How ChatGPT works</li> <li>Transformers</li> <li>Tokens</li> <li>Embeddings</li> </ul> <h3> Resources </h3> <ul> <li>Andrew Ng AI Courses</li> <li>DeepLearning.AI</li> <li>OpenAI Documentation</li> <li>YouTube</li> </ul> <h3> Goal </h3> <p>Understand how modern AI systems work behind the scenes.</p> <h2> Month 2: Prompt Engineering </h2> <h3> Topics </h3> <ul> <li>Zero-shot prompting</li> <li>Few-shot prompting</li> <li>Chain of Thought</li> <li>Role prompting</li> <li>Structured outputs</li> <li>Prompt evaluation</li> </ul> <h3> Mini Projects </h3> <ul> <li>AI Resume Analyzer</li> <li>AI Study Planner</li> <li>AI Interview Coach</li> </ul> <h3> Goal </h3> <p>Learn how to communicate effectively with AI models.</p> <h2> Month 3: LangChain and AI Agents </h2> <h3> Topics </h3> <ul> <li>LangChain Basics</li> <li>Chains</li> <li>Memory</li> <li>Tools</li> <li>Agents</li> <li>Function Calling</li> <li>Multi-Agent Systems</li> </ul> <h3> Projects </h3> <ul> <li>AI Research Assistant</li> <li>AI Career Advisor</li> <li>AI Learning Coach</li> </ul> <h3> Goal </h3> <p>Build AI systems that can think and take actions.</p> <h2> Month 4: Retrieval-Augmented Generation (RAG) </h2> <h3> Topics </h3> <ul> <li>Vector Databases</li> <li>Embeddings</li> <li>Chunking</li> <li>Retrieval</li> <li>Semantic Search</li> </ul> <h3> Tools </h3> <ul> <li>LangChain</li> <li>ChromaDB</li> <li>FAISS</li> <li>Pinecone</li> </ul> <h3> Projects </h3> <ul> <li>PDF Chatbot</li> <li>Notes Assistant</li> <li>College Document Search</li> </ul> <h3> Goal </h3> <p>Build AI systems capable of answering questions from custom data.</p> <h2> Month 5: Real-World Projects </h2> <p>This month will focus entirely on project building.</p> <h3> Project 1 </h3> <p>AI-Powered Rural Job Platform</p> <p>Features:</p> <ul> <li>Local job listings</li> <li>Hindi support</li> <li>AI career guidance</li> <li>Resume recommendations</li> </ul> <h3> Project 2 </h3> <p>Farmer Assistance Platform</p> <p>Features:</p> <ul> <li>Crop recommendations</li> <li>Weather insights</li> <li>Government schemes</li> <li>Voice-based interaction</li> </ul> <h3> Project 3 </h3> <p>AI Interview Preparation Assistant</p> <p>Features:</p> <ul> <li>Mock interviews</li> <li>Feedback</li> <li>Personalized learning paths</li> </ul> <h2> Month 6: Interview Preparation and Deployment </h2> <h3> DSA </h3> <ul> <li>Arrays</li> <li>Strings</li> <li>Linked Lists</li> <li>Trees</li> <li>Graphs</li> <li>Dynamic Programming</li> </ul> <h3> System Design </h3> <ul> <li>Scalability</li> <li>Databases</li> <li>APIs</li> <li>Caching</li> <li>Load Balancing</li> </ul> <h3> Deployment </h3> <ul> <li>Docker</li> <li>Vercel</li> <li>Railway</li> <li>AWS Basics</li> </ul> <h3> Goal </h3> <p>Become internship and placement ready.</p> <h2> Technologies I Plan to Learn </h2> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Category</th> <th>Tools</th> </tr> </thead> <tbody> <tr> <td>Programming</td> <td>Python</td> </tr> <tr> <td>AI</td> <td>OpenAI, Gemini</td> </tr> <tr> <td>Frameworks</td> <td>LangChain</td> </tr> <tr> <td>Vector DB</td> <td>Pinecone, ChromaDB</td> </tr> <tr> <td>Backend</td> <td>FastAPI</td> </tr> <tr> <td>Frontend</td> <td>React</td> </tr> <tr> <td>Deployment</td> <td>Vercel, Docker</td> </tr> <tr> <td>Database</td> <td>PostgreSQL</td> </tr> </tbody> </table></div> <h2> My Long-Term Vision </h2> <p>I am particularly interested in building AI solutions for India, especially for:</p> <ul> <li>Education</li> <li>Healthcare</li> <li>Agriculture</li> <li>Employment</li> </ul> <p>Coming from Uttar Pradesh, I believe technology can solve many real-world problems if applied correctly.</p> <p>My dream is to build products that create impact at scale while continuously growing as an engineer.</p> <h2> What Success Looks Like After 6 Months </h2> <p>By the end of this roadmap, I want to:</p> <ul> <li>Build 5+ AI projects</li> <li>Understand AI Agents deeply</li> <li>Learn RAG systems</li> <li>Improve DSA skills</li> <li>Learn System Design fundamentals</li> <li>Secure a strong internship opportunity</li> <li>Contribute to open-source projects</li> </ul> <h2> Final Thoughts </h2> <p>This roadmap is not perfect, and I know there will be challenges along the way.</p> <p>But consistency beats intensity.</p> <p>Instead of trying to learn everything at once, I am focusing on making small progress every day.</p> <p>I will keep sharing updates, projects, lessons, and failures throughout this journey.</p> <p>If you're also learning Generative AI, feel free to connect and share your roadmap as well.</p> <p>Let's build something amazing in 2026 🚀</p> <p>Thanks for reading ❤️</p> <h1> ai #machinelearning #genai #career #programming </h1> ai career agents programming Pro_code Thu, 14 May 2026 10:56:56 +0000 https://dev.to/procoder_45/how-i-built-an-ai-powered-marketplace-dispute-engine-using-react-flask-aws-1i2e https://dev.to/procoder_45/how-i-built-an-ai-powered-marketplace-dispute-engine-using-react-flask-aws-1i2e <h2> 🚀 Introduction </h2> <p>Marketplace disputes are one of the biggest pain points in e-commerce platforms.</p> <p>Most systems still rely heavily on manual workflows:</p> <ul> <li>Customers submit complaints</li> <li>Admins review screenshots and proofs</li> <li>Sellers respond manually</li> <li>Resolution takes days</li> </ul> <p>I wanted to explore how AI and automation could improve this process.</p> <p>So I built an <strong>AI-Powered Marketplace Dispute Engine</strong> using <strong>React, Flask, PostgreSQL, and AWS</strong> that helps automate and streamline dispute resolution workflows.</p> <h2> 🧠 What the Project Does </h2> <p>The platform allows:</p> <ul> <li>Buyers to raise disputes</li> <li>Sellers to respond with evidence</li> <li>Admins to monitor dispute activity</li> <li>AI workflows to assist in dispute categorization and prioritization</li> </ul> <p>The goal was to create a scalable backend system capable of handling structured dispute workflows efficiently.</p> <h2> ⚙️ Tech Stack </h2> <h3> Frontend </h3> <ul> <li>React.js</li> <li>Tailwind CSS</li> </ul> <h3> Backend </h3> <ul> <li>Flask</li> <li>REST APIs</li> <li>JWT Authentication</li> </ul> <h3> Database </h3> <ul> <li>PostgreSQL</li> </ul> <h3> Cloud &amp; Deployment </h3> <ul> <li>AWS App Runner</li> <li>AWS RDS</li> <li>AWS Amplify</li> </ul> <h3> Other Tools </h3> <ul> <li>Git &amp; GitHub</li> <li>Postman</li> <li>AI-assisted workflow experimentation</li> </ul> <h2> 🏗️ System Architecture </h2> <p>The workflow looks something like this:</p> <ol> <li>User creates a dispute request</li> <li>Backend validates and stores dispute data</li> <li>Seller receives response request</li> <li>AI workflow helps categorize dispute priority</li> <li>Admin dashboard tracks resolution status</li> <li>Resolution updates are synced in real-time</li> </ol> <p>One of my major goals was keeping the architecture modular and scalable.</p> <h2> 🔥 Key Features </h2> <h3> ✅ Secure Authentication </h3> <p>Implemented JWT-based authentication for secure access management.</p> <h3> ✅ Role-Based Access </h3> <p>Different dashboards and permissions for:</p> <ul> <li>Buyers</li> <li>Sellers</li> <li>Admins</li> </ul> <h3> ✅ Real-Time Notifications </h3> <p>Integrated real-time notification workflows to instantly update users about:</p> <ul> <li>Dispute status changes</li> <li>Seller responses</li> <li>Admin actions</li> <li>Resolution updates</li> </ul> <p>This significantly improved user engagement and tracking efficiency.</p> <h3> ✅ Analytics Dashboard </h3> <p>Built an analytics dashboard to monitor:</p> <ul> <li>Total disputes</li> <li>Resolution rates</li> <li>Pending cases</li> <li>Escalation metrics</li> <li>User activity insights</li> </ul> <p>This helps admins better understand platform performance and dispute trends.</p> <h3> ✅ AI-Based Fraud Detection </h3> <p>Implemented AI-assisted fraud detection mechanisms to identify:</p> <ul> <li>Suspicious dispute patterns</li> <li>Repeated fraudulent claims</li> <li>High-risk transactions</li> <li>Unusual user behavior</li> </ul> <p>The system helps prioritize potentially risky disputes for faster review.</p> <h3> ✅ Dispute Tracking </h3> <p>Users can monitor:</p> <ul> <li>Pending disputes</li> <li>Resolved cases</li> <li>Escalated disputes</li> </ul> <h3> ✅ AI-Assisted Categorization </h3> <p>Experimented with AI workflows to:</p> <ul> <li>Identify dispute type</li> <li>Prioritize urgent cases</li> <li>Improve admin efficiency</li> </ul> <h3> ✅ Cloud Deployment </h3> <p>Deployed the application using AWS services for scalability and reliability.</p> <h2> ☁️ AWS Services Used </h2> <h3> AWS Amplify </h3> <p>Used for frontend deployment and hosting.</p> <h3> AWS App Runner </h3> <p>Handled backend container deployment with simplified scaling.</p> <h3> AWS RDS </h3> <p>Managed PostgreSQL database hosting.</p> <p>Working with cloud deployment taught me a lot about:</p> <ul> <li>Environment variables</li> <li>Deployment pipelines</li> <li>Backend connectivity</li> <li>Production debugging</li> </ul> <h2> 🚧 Challenges I Faced </h2> <p>Like every real-world project, this one came with challenges.</p> <p>Some major ones were:</p> <ul> <li>Handling authentication securely</li> <li>Managing API communication between frontend and backend</li> <li>Database relationship design</li> <li>Deployment configuration issues</li> <li>Backend service connection with PostgreSQL</li> <li>Debugging production errors on AWS</li> </ul> <p>A lot of time went into debugging deployment and API issues rather than writing features 😅</p> <h2> 📚 What I Learned </h2> <p>This project helped me gain practical experience in:</p> <ul> <li>Full-stack development</li> <li>Cloud deployment</li> <li>Backend architecture</li> <li>Database design</li> <li>API development</li> <li>Authentication systems</li> <li>AI-assisted workflows</li> </ul> <p>More importantly, it taught me how real production systems require much more than just writing code.</p> <h2> 🔮 Future Improvements </h2> <p>Some features I’d like to add next:</p> <ul> <li>AI-generated dispute summaries</li> <li>Payment gateway integration</li> <li>Multi-language support</li> </ul> <h2> 🌐 Project Links </h2> <h3> 🚀 Live Demo </h3> <p><a href="https://www.disputeengine.tech" rel="noopener noreferrer">View Live Project</a></p> <h3> 💻 GitHub Repository </h3> <p><a href="https://github.com/ANUPAM4545/MarketPlace-Dispute-Engine" rel="noopener noreferrer">View Source Code</a></p> <h2> 📸 Project Screenshots </h2> <h2> 📊 Admin Dashboard </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhw5busb2ure4l98dq5xi.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhw5busb2ure4l98dq5xi.png" alt="Marketplace Dispute Engine Dashboard" width="799" height="433"></a></p> <h2> 📈 Analytics Dashboard </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fb0uq9splrj2vidribryz.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fb0uq9splrj2vidribryz.png" alt="Analytics Dashboard" width="799" height="411"></a></p> <h2> ✨ Platform Features </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8vetb8nf0d8mw647fngl.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F8vetb8nf0d8mw647fngl.png" alt="Features" width="800" height="434"></a></p> <h2> ✨ Pricing Screenshot </h2> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fowfklfaixtoe86efqv92.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fowfklfaixtoe86efqv92.png" alt="Pricing" width="800" height="442"></a></p> <h2> 💡 Final Thoughts </h2> <p>Building this project was a great learning experience because it combined:</p> <ul> <li>Full-stack engineering</li> <li>Cloud infrastructure</li> <li>Backend systems</li> <li>AI experimentation</li> </ul> <p>I’m still improving the platform and exploring new ideas around AI-powered automation systems.</p> <p>Would love to hear feedback or suggestions from the community 🚀</p> <h2> Tags </h2> <h1> ai #aws #react #flask </h1> ai aws react showdev Pro_code Thu, 14 May 2026 10:13:57 +0000 https://dev.to/procoder_45/top-apps-every-cs-aiml-student-should-have-in-2026-2pbj https://dev.to/procoder_45/top-apps-every-cs-aiml-student-should-have-in-2026-2pbj <p>Every CS &amp; AI/ML Student Needs the Right Apps in 2026 </p> <p>As a Computer Science student, your smartphone can become much more than just a social media device.</p> <p>It can be your:</p> <ul> <li>Coding lab</li> <li>AI assistant</li> <li>Research center</li> <li>Productivity hub</li> <li>Career growth tool</li> </ul> <p>Over the last few months, I’ve explored dozens of apps for coding, AI, productivity, and staying updated with tech trends.</p> <p>Here are the best ones every CS or AI/ML student should seriously consider using in 2026.</p> <p>🤖 1. AI Assistants</p> <p>These apps can dramatically improve your learning speed.</p> <p>ChatGPT<br> Best for:</p> <ul> <li>Debugging code</li> <li>Learning concepts</li> <li>Resume help</li> <li>Project ideas</li> <li>Interview prep</li> </ul> <p>Honestly one of the most useful tools for students right now.</p> <p>Claude<br> Amazing for:</p> <ul> <li>Long explanations</li> <li>PRDs</li> <li>Documentation</li> <li>Deep reasoning</li> <li>Architecture discussions</li> </ul> <h3> Perplexity </h3> <p>Perfect for:</p> <ul> <li>Research</li> <li>Latest AI news</li> <li>Finding sources quickly</li> </ul> <p>💻 2. Coding &amp; Experimenting Apps<br> Replit<br> A powerful cloud coding platform that lets you code directly from your phone or browser.</p> <p>Great for:</p> <ul> <li>Quick prototypes</li> <li>Hackathons</li> <li>Testing APIs</li> <li>Learning new languages</li> </ul> <h3> GitHub </h3> <p>Every CS student should actively use GitHub.</p> <p>Use it for:</p> <ul> <li>Hosting projects</li> <li>Open source</li> <li>Portfolio building</li> <li>Collaboration</li> </ul> <p>📚 3. Best Apps for AI/ML Students</p> <h3> Kaggle </h3> <p>Essential for:</p> <ul> <li>Datasets</li> <li>Competitions</li> <li>ML notebooks</li> <li>Learning real-world AI workflows</li> </ul> <p>Hugging Face<br> A goldmine for:</p> <ul> <li>Open-source AI models</li> <li>Demos</li> <li>NLP tools</li> <li>LLM experimentation</li> </ul> <h3> Google Colab </h3> <p>Perfect for running Python notebooks using cloud GPUs.</p> <p>A must-have for machine learning students.</p> <p>📰 4. Stay Updated With Tech</p> <p>Technology changes insanely fast.</p> <p>These platforms help you stay ahead.</p> <p>Reddit<br> Best communities:</p> <ul> <li>r/MachineLearning</li> <li>r/LocalLLaMA</li> <li>r/programming</li> <li>r/webdev</li> </ul> <h3> X (Twitter) </h3> <p>Most AI and startup news appears here first.</p> <p>Following engineers, founders, and researchers can teach you a lot.</p> <p>DEV Community<br> One of the best places for developers to:</p> <ul> <li>Share projects</li> <li>Learn publicly</li> <li>Read engineering blogs</li> <li>Connect with builders</li> </ul> <p>📈 5. Productivity Apps</p> <h3> Notion </h3> <p>My favorite app for:</p> <ul> <li>Project planning</li> <li>Notes</li> <li>Internship tracking</li> <li>Learning roadmaps</li> </ul> <p>Obsidian<br> An amazing “second brain” app.</p> <p>Great for:</p> <ul> <li>DSA notes</li> <li>System design</li> <li>AI concepts</li> <li>Connected knowledge graphs</li> </ul> <h3> Google Calendar </h3> <p>Underrated but powerful.</p> <p>Helps manage:</p> <ul> <li>Deadlines</li> <li>Interviews</li> <li>Study schedules</li> <li>Meetings</li> </ul> <p>💼 6. Career &amp; Interview Preparation</p> <p>LinkedIn<br> Start building your online presence early.</p> <p>Post:</p> <ul> <li>Projects</li> <li>Learnings</li> <li>Internship experiences</li> <li>Tech insights</li> </ul> <p>LeetCode<br> Still one of the best platforms for coding interview prep.</p> <p>Internshala / Wellfound<br> Excellent for:</p> <ul> <li>Internships</li> <li>Startup jobs</li> <li>Remote opportunities</li> </ul> <p>🔥 Final Thoughts</p> <p>The students growing fastest right now are usually doing these things consistently:</p> <ul> <li>Building projects</li> <li>Using AI tools smartly</li> <li>Learning in public</li> <li>Staying updated</li> <li>Networking with developers</li> </ul> <p>You don’t need every app on this list.</p> <p>But choosing the right tools can massively improve:</p> <ul> <li>Productivity</li> <li>Learning speed</li> <li>Coding skills</li> <li>Career growth</li> </ul> <p>If I had to recommend only 5 apps for CS students, I’d choose:</p> <ol> <li>ChatGPT </li> <li>GitHub </li> <li>Replit </li> <li>Notion </li> <li>Kaggle </li> </ol> <p>What apps do you think every developer student should have?</p> <p>Let me know 👇</p>